Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:15:52.318457
Analysis finished2020-08-25 00:17:01.122917
Duration1 minute and 8.8 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz84 has unique values Unique
oz54 has unique values Unique
oz71 has unique values Unique
oz46 has unique values Unique
oz45 has unique values Unique
oz40 has unique values Unique
oz23 has unique values Unique
oz81 has unique values Unique
oz11 has unique values Unique
oz1 has unique values Unique
oz19 has unique values Unique
oz31 has unique values Unique
oz74 has unique values Unique
oz34 has unique values Unique
oz91 has unique values Unique
oz5 has unique values Unique
oz77 has unique values Unique
oz78 has unique values Unique
oz13 has unique values Unique
target has unique values Unique

Variables

oz84
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.587950676679611e-10
Minimum-1.7227685451507568
Maximum1.7819700241088867
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:01.169001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.722768545
5-th percentile-1.569728905
Q1-0.8531910181
median-0.03434993513
Q30.8850063533
95-th percentile1.595131439
Maximum1.781970024
Range3.504738569
Interquartile range (IQR)1.738197371

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-1317878887
Kurtosis-1.155735055
Mean-7.587950677e-10
Median Absolute Deviation (MAD)0.8563487101
Skewness0.02486693064
Sum-7.587950677e-07
Variance0.9999999978
2020-08-25T00:17:01.270695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.103027179810.1%
 
1.0442562110.1%
 
1.15370547810.1%
 
1.68104636710.1%
 
-1.0755696310.1%
 
0.57684743410.1%
 
-1.44787561910.1%
 
0.312834978110.1%
 
1.05211865910.1%
 
0.260043859510.1%
 
-0.649100601710.1%
 
-0.699874639510.1%
 
1.21615338310.1%
 
1.04818296410.1%
 
1.36457836610.1%
 
-0.930909395210.1%
 
-0.645151853610.1%
 
1.19268751110.1%
 
-0.359692633210.1%
 
-1.64970958210.1%
 
0.508446872210.1%
 
0.0216262247410.1%
 
-0.711569607310.1%
 
-1.35673129610.1%
 
1.06375944610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72276854510.1%
 
-1.71875572210.1%
 
-1.71634674110.1%
 
-1.70585060110.1%
 
-1.70580458610.1%
 
-1.70348548910.1%
 
-1.69306826610.1%
 
-1.69084525110.1%
 
-1.68725895910.1%
 
-1.68538820710.1%
 
ValueCountFrequency (%) 
1.78197002410.1%
 
1.77953672410.1%
 
1.77353656310.1%
 
1.76491224810.1%
 
1.76087439110.1%
 
1.75573897410.1%
 
1.7504055510.1%
 
1.75012350110.1%
 
1.74562704610.1%
 
1.74236059210.1%
 

oz54
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.471512515813458e-10
Minimum-1.6571990251541138
Maximum1.740556001663208
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:01.384669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.657199025
5-th percentile-1.48232531
Q1-0.848334536
median-0.04642486759
Q30.8807901144
95-th percentile1.586365616
Maximum1.740556002
Range3.397755027
Interquartile range (IQR)1.72912465

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)2236379739
Kurtosis-1.24017686
Mean4.471512516e-10
Median Absolute Deviation (MAD)0.8611341417
Skewness0.07611299087
Sum4.471512516e-07
Variance0.9999999986
2020-08-25T00:17:01.492239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.687499523210.1%
 
-1.24745035210.1%
 
0.110469840510.1%
 
1.43107521510.1%
 
-0.35972160110.1%
 
-0.434915572410.1%
 
0.447610914710.1%
 
1.25137937110.1%
 
0.68818777810.1%
 
0.380515605210.1%
 
1.50527727610.1%
 
-0.756542861510.1%
 
-1.38417744610.1%
 
-0.00327567406910.1%
 
-1.07167375110.1%
 
1.22400867910.1%
 
-0.148108512210.1%
 
-0.57293999210.1%
 
-0.805359482810.1%
 
-0.316956192310.1%
 
1.54820275310.1%
 
-1.41664135510.1%
 
1.55601048510.1%
 
-1.37632012410.1%
 
1.38021910210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.65719902510.1%
 
-1.63944411310.1%
 
-1.63841307210.1%
 
-1.63727903410.1%
 
-1.63656973810.1%
 
-1.62585246610.1%
 
-1.62358295910.1%
 
-1.61468696610.1%
 
-1.61433994810.1%
 
-1.61319816110.1%
 
ValueCountFrequency (%) 
1.74055600210.1%
 
1.73782455910.1%
 
1.73648166710.1%
 
1.73412978610.1%
 
1.73377859610.1%
 
1.72520911710.1%
 
1.72290575510.1%
 
1.72106480610.1%
 
1.71630597110.1%
 
1.71309959910.1%
 

oz71
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.296553818974644e-09
Minimum-1.7816342115402222
Maximum1.6966557502746582
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:01.618670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.781634212
5-th percentile-1.594418323
Q1-0.864058286
median0.03356796689
Q30.8678492755
95-th percentile1.519512784
Maximum1.69665575
Range3.478289962
Interquartile range (IQR)1.731907561

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-771275351.2
Kurtosis-1.169971726
Mean-1.296553819e-09
Median Absolute Deviation (MAD)0.8729715049
Skewness-0.07779498932
Sum-1.296553819e-06
Variance1.000000004
2020-08-25T00:17:01.722622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.05468404310.1%
 
-0.430006980910.1%
 
-0.739481151110.1%
 
0.913401544110.1%
 
-1.1028755910.1%
 
1.20367014410.1%
 
-1.30990266810.1%
 
1.3880258810.1%
 
-1.60379314410.1%
 
0.928169608110.1%
 
-1.25129818910.1%
 
-0.15999524310.1%
 
-0.241372823710.1%
 
0.207681059810.1%
 
0.793608963510.1%
 
-0.425122588910.1%
 
-0.0934560224410.1%
 
-1.11455190210.1%
 
0.758445799410.1%
 
0.375315904610.1%
 
1.35395562610.1%
 
-0.024006443110.1%
 
0.979761540910.1%
 
0.977183699610.1%
 
0.988900840310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78163421210.1%
 
-1.78044605310.1%
 
-1.77488803910.1%
 
-1.77223372510.1%
 
-1.77015495310.1%
 
-1.76982688910.1%
 
-1.76815986610.1%
 
-1.76013624710.1%
 
-1.75860285810.1%
 
-1.75610423110.1%
 
ValueCountFrequency (%) 
1.6966557510.1%
 
1.69118452110.1%
 
1.69062256810.1%
 
1.68827760210.1%
 
1.68739616910.1%
 
1.68105995710.1%
 
1.6804307710.1%
 
1.67682433110.1%
 
1.6758656510.1%
 
1.67445063610.1%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.203749656677246e-10
Minimum-1.685218095779419
Maximum1.6947845220565796
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:01.836977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.685218096
5-th percentile-1.532538891
Q1-0.8993901312
median-0.01652759546
Q30.8609779328
95-th percentile1.536959648
Maximum1.694784522
Range3.380002618
Interquartile range (IQR)1.760368064

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)3121342515
Kurtosis-1.253778326
Mean3.203749657e-10
Median Absolute Deviation (MAD)0.8820396638
Skewness0.007259329764
Sum3.203749657e-07
Variance1.000000002
2020-08-25T00:17:01.938684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.75214052210.1%
 
-0.959648430310.1%
 
-0.99872696410.1%
 
-1.30604672410.1%
 
-1.15370154410.1%
 
-1.49083566710.1%
 
1.07556581510.1%
 
1.62365400810.1%
 
0.158859476410.1%
 
-1.52868640410.1%
 
-0.155800223410.1%
 
-0.362681776310.1%
 
-1.66663539410.1%
 
-1.49085605110.1%
 
1.60380339610.1%
 
-0.27357348810.1%
 
-1.17823755710.1%
 
-0.460290044510.1%
 
0.276695847510.1%
 
-0.103841587910.1%
 
1.69400334410.1%
 
-0.124852336910.1%
 
-1.18880426910.1%
 
-1.1966135510.1%
 
-0.84830617910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68521809610.1%
 
-1.68519008210.1%
 
-1.68414771610.1%
 
-1.67475724210.1%
 
-1.67329335210.1%
 
-1.67027795310.1%
 
-1.66863822910.1%
 
-1.66711139710.1%
 
-1.66663539410.1%
 
-1.66262233310.1%
 
ValueCountFrequency (%) 
1.69478452210.1%
 
1.69400334410.1%
 
1.69122159510.1%
 
1.68856835410.1%
 
1.68018710610.1%
 
1.67115855210.1%
 
1.66943144810.1%
 
1.66866564810.1%
 
1.66856861110.1%
 
1.66807794610.1%
 

oz45
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2386590242385865e-10
Minimum-1.6715004444122314
Maximum1.7407920360565186
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:02.053387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.671500444
5-th percentile-1.525023675
Q1-0.8965184391
median-0.0283711087
Q30.8925927877
95-th percentile1.575446433
Maximum1.740792036
Range3.41229248
Interquartile range (IQR)1.789111227

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-8073246804
Kurtosis-1.215127791
Mean-1.238659024e-10
Median Absolute Deviation (MAD)0.8906781506
Skewness0.05340609841
Sum-1.238659024e-07
Variance1.000000002
2020-08-25T00:17:02.160674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.54297244510.1%
 
-0.733054816710.1%
 
0.252281248610.1%
 
0.338217467110.1%
 
1.62240099910.1%
 
-1.66969823810.1%
 
0.885416388510.1%
 
-0.537690997110.1%
 
-0.261064946710.1%
 
1.00910174810.1%
 
0.992828905610.1%
 
0.656890332710.1%
 
1.56377935410.1%
 
1.11455726610.1%
 
1.16923689810.1%
 
0.0699031278510.1%
 
0.294473528910.1%
 
-0.225255116810.1%
 
1.52539503610.1%
 
-0.0651908665910.1%
 
-1.1770340210.1%
 
1.36292934410.1%
 
-0.682866811810.1%
 
0.367497861410.1%
 
-0.895149767410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.67150044410.1%
 
-1.66969823810.1%
 
-1.66606450110.1%
 
-1.66476297410.1%
 
-1.66420483610.1%
 
-1.65576100310.1%
 
-1.65371739910.1%
 
-1.65323030910.1%
 
-1.65316557910.1%
 
-1.65046358110.1%
 
ValueCountFrequency (%) 
1.74079203610.1%
 
1.73503375110.1%
 
1.7319357410.1%
 
1.7236181510.1%
 
1.72342598410.1%
 
1.72035908710.1%
 
1.71937966310.1%
 
1.71681916710.1%
 
1.71104490810.1%
 
1.70675206210.1%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.8312206268310546e-10
Minimum-1.7432940006256104
Maximum1.7490959167480469
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:02.275072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.743294001
5-th percentile-1.55618239
Q1-0.8416283429
median-0.01220923779
Q30.8428064287
95-th percentile1.569986284
Maximum1.749095917
Range3.492389917
Interquartile range (IQR)1.684434772

Descriptive statistics

Standard deviation0.9999999974
Coefficient of variation (CV)-3532045465
Kurtosis-1.185136529
Mean-2.831220627e-10
Median Absolute Deviation (MAD)0.8349386752
Skewness0.01955099529
Sum-2.831220627e-07
Variance0.9999999948
2020-08-25T00:17:02.378265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.320311278110.1%
 
-0.732629597210.1%
 
-1.10292375110.1%
 
0.459322720810.1%
 
1.23390853410.1%
 
-0.981141686410.1%
 
-1.06774985810.1%
 
-0.408480703810.1%
 
0.557309389110.1%
 
-0.75373905910.1%
 
0.962489306910.1%
 
-0.200153768110.1%
 
0.854173779510.1%
 
1.10609555210.1%
 
0.178874716210.1%
 
0.074055835610.1%
 
0.541636526610.1%
 
1.09504544710.1%
 
-0.744785726110.1%
 
0.981112301310.1%
 
-0.459305763210.1%
 
1.27472162210.1%
 
0.257156521110.1%
 
1.58527517310.1%
 
1.48693752310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74329400110.1%
 
-1.73908507810.1%
 
-1.73700535310.1%
 
-1.73035204410.1%
 
-1.72189319110.1%
 
-1.72054672210.1%
 
-1.71959328710.1%
 
-1.7171956310.1%
 
-1.71532583210.1%
 
-1.71276032910.1%
 
ValueCountFrequency (%) 
1.74909591710.1%
 
1.74500799210.1%
 
1.73827695810.1%
 
1.73495662210.1%
 
1.73209655310.1%
 
1.72605931810.1%
 
1.7221105110.1%
 
1.72058379710.1%
 
1.71899342510.1%
 
1.7160799510.1%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.103632462142514e-10
Minimum-1.7618223428726196
Maximum1.6840190887451172
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:02.493471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.761822343
5-th percentile-1.594106007
Q1-0.8444577605
median0.01873174682
Q30.873201251
95-th percentile1.535993379
Maximum1.684019089
Range3.445841432
Interquartile range (IQR)1.717659011

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-3222030995
Kurtosis-1.205758729
Mean-3.103632462e-10
Median Absolute Deviation (MAD)0.8577369452
Skewness-0.04136631789
Sum-3.103632462e-07
Variance0.9999999979
2020-08-25T00:17:02.598131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.16406202310.1%
 
-1.70784032310.1%
 
1.57540500210.1%
 
0.375330269310.1%
 
-0.508472263810.1%
 
-1.68775355810.1%
 
0.0564375445210.1%
 
-0.947920143610.1%
 
-0.574869096310.1%
 
-1.3762890110.1%
 
0.223566576810.1%
 
1.18096911910.1%
 
1.24481844910.1%
 
1.28250896910.1%
 
-1.16409444810.1%
 
0.770156741110.1%
 
-0.543565988510.1%
 
1.14968383310.1%
 
0.867808818810.1%
 
-1.07848203210.1%
 
0.956412017310.1%
 
1.6613924510.1%
 
-0.0662219598910.1%
 
-1.68872737910.1%
 
-0.442076593610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76182234310.1%
 
-1.75996828110.1%
 
-1.75397801410.1%
 
-1.74932944810.1%
 
-1.74668502810.1%
 
-1.74623084110.1%
 
-1.74086320410.1%
 
-1.73914504110.1%
 
-1.73837244510.1%
 
-1.73468911610.1%
 
ValueCountFrequency (%) 
1.68401908910.1%
 
1.68168282510.1%
 
1.67310237910.1%
 
1.67008137710.1%
 
1.66785359410.1%
 
1.66358327910.1%
 
1.6613924510.1%
 
1.66083848510.1%
 
1.65990364610.1%
 
1.65635335410.1%
 

oz81
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.142064765095711e-10
Minimum-1.7513689994812012
Maximum1.7752326726913452
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:02.714314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.751368999
5-th percentile-1.588817823
Q1-0.8436847031
median0.0005410564481
Q30.8468572795
95-th percentile1.588089985
Maximum1.775232673
Range3.526601672
Interquartile range (IQR)1.690541983

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1944744079
Kurtosis-1.141581477
Mean-5.142064765e-10
Median Absolute Deviation (MAD)0.8457303941
Skewness-0.00383898384
Sum-5.142064765e-07
Variance1.000000001
2020-08-25T00:17:02.817270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.568358659710.1%
 
-0.842468142510.1%
 
-0.291643053310.1%
 
-1.5678007610.1%
 
1.16935038610.1%
 
0.963749647110.1%
 
-1.32168662510.1%
 
-0.0672244131610.1%
 
-1.38740694510.1%
 
-1.75136899910.1%
 
-0.70380765210.1%
 
0.743666648910.1%
 
0.395847111910.1%
 
0.21110589810.1%
 
-0.18229688710.1%
 
0.467129945810.1%
 
1.52861905110.1%
 
1.30726528210.1%
 
0.278651028910.1%
 
0.979176223310.1%
 
1.53256690510.1%
 
0.596360385410.1%
 
-1.43881225610.1%
 
-0.410483449710.1%
 
0.0757653191710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75136899910.1%
 
-1.7462611210.1%
 
-1.74544584810.1%
 
-1.74402916410.1%
 
-1.7432986510.1%
 
-1.73188114210.1%
 
-1.72764599310.1%
 
-1.72327494610.1%
 
-1.71685671810.1%
 
-1.71245539210.1%
 
ValueCountFrequency (%) 
1.77523267310.1%
 
1.77390801910.1%
 
1.77223324810.1%
 
1.77157914610.1%
 
1.76244115810.1%
 
1.75600886310.1%
 
1.75478243810.1%
 
1.75239765610.1%
 
1.74702715910.1%
 
1.74387824510.1%
 

oz11
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3441895134747028e-09
Minimum-1.7675230503082275
Maximum1.7273964881896973
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:02.932285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.76752305
5-th percentile-1.579982889
Q1-0.8165638596
median-0.01371077029
Q30.8561607152
95-th percentile1.551935154
Maximum1.727396488
Range3.494919538
Interquartile range (IQR)1.672724575

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-743942717.6
Kurtosis-1.187469306
Mean-1.344189513e-09
Median Absolute Deviation (MAD)0.8562539816
Skewness-0.02792130296
Sum-1.344189513e-06
Variance0.9999999993
2020-08-25T00:17:03.033545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.783202290510.1%
 
-1.35678958910.1%
 
0.571607291710.1%
 
1.04937994510.1%
 
-0.423193812410.1%
 
-0.914248108910.1%
 
-0.923146903510.1%
 
0.610785722710.1%
 
-0.136400282410.1%
 
0.398774385510.1%
 
-1.54306232910.1%
 
-0.579946041110.1%
 
1.40683865510.1%
 
0.881523370710.1%
 
1.31382560710.1%
 
-1.47134125210.1%
 
-0.0967586785610.1%
 
1.24640560210.1%
 
0.0365399196710.1%
 
-0.0434800945210.1%
 
-0.172038003810.1%
 
0.947916090510.1%
 
1.39192295110.1%
 
-0.270269304510.1%
 
1.28540110610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7675230510.1%
 
-1.76471614810.1%
 
-1.74846112710.1%
 
-1.74685418610.1%
 
-1.74653935410.1%
 
-1.74616336810.1%
 
-1.74366593410.1%
 
-1.74125099210.1%
 
-1.74050414610.1%
 
-1.73589098510.1%
 
ValueCountFrequency (%) 
1.72739648810.1%
 
1.71803903610.1%
 
1.71354103110.1%
 
1.71245384210.1%
 
1.70571303410.1%
 
1.70421826810.1%
 
1.70082545310.1%
 
1.69980728610.1%
 
1.69612264610.1%
 
1.69435000410.1%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6521662491442156e-09
Minimum-2.2764661312103267
Maximum2.4329676628112797
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:03.148271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.276466131
5-th percentile-1.61106739
Q1-0.7841236442
median0.03117447253
Q30.7553257793
95-th percentile1.621605432
Maximum2.432967663
Range4.709433794
Interquartile range (IQR)1.539449424

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-605265965.3
Kurtosis-0.8392054955
Mean-1.652166249e-09
Median Absolute Deviation (MAD)0.7640454555
Skewness-0.01140817675
Sum-1.652166249e-06
Variance0.9999999993
2020-08-25T00:17:03.247367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.30859291610.1%
 
0.350918352610.1%
 
-0.399758487910.1%
 
-0.303078174610.1%
 
0.813185691810.1%
 
-0.14958435310.1%
 
1.23645079110.1%
 
-0.280612349510.1%
 
-0.221849307410.1%
 
-1.2826023110.1%
 
0.217942237910.1%
 
0.966150045410.1%
 
-1.09390103810.1%
 
1.00134038910.1%
 
0.306974202410.1%
 
0.134288832510.1%
 
-1.53642785510.1%
 
-0.110434159610.1%
 
0.290368288810.1%
 
0.697923958310.1%
 
-0.686204612310.1%
 
0.275717794910.1%
 
1.28646278410.1%
 
-0.315755575910.1%
 
1.1373474610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.27646613110.1%
 
-2.18501114810.1%
 
-2.17765831910.1%
 
-2.1132481110.1%
 
-2.0890612610.1%
 
-2.03923082410.1%
 
-2.03776764910.1%
 
-2.00623059310.1%
 
-2.00373339710.1%
 
-1.97082829510.1%
 
ValueCountFrequency (%) 
2.43296766310.1%
 
2.21403121910.1%
 
2.13576555310.1%
 
2.13242626210.1%
 
2.12464499510.1%
 
2.0783164510.1%
 
2.0401706710.1%
 
2.02117085510.1%
 
2.01943182910.1%
 
2.01903057110.1%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6645138859748842e-09
Minimum-1.7569587230682373
Maximum1.753893256187439
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:03.356612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.756958723
5-th percentile-1.553111696
Q1-0.8669159561
median0.03908739984
Q30.8234175295
95-th percentile1.568517649
Maximum1.753893256
Range3.510851979
Interquartile range (IQR)1.690333486

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)375302979.5
Kurtosis-1.160890321
Mean2.664513886e-09
Median Absolute Deviation (MAD)0.851448223
Skewness0.0005410046334
Sum2.664513886e-06
Variance1.000000001
2020-08-25T00:17:03.606024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.578122019810.1%
 
0.202475994810.1%
 
-1.32946896610.1%
 
-0.0656395778110.1%
 
-1.43620514910.1%
 
-0.844479441610.1%
 
0.158369019610.1%
 
0.443209528910.1%
 
-0.472009748210.1%
 
-0.433143645510.1%
 
0.394860416710.1%
 
-0.150066524710.1%
 
1.17224073410.1%
 
1.68228757410.1%
 
0.526040732910.1%
 
0.623690605210.1%
 
-0.291316121810.1%
 
-1.36456644510.1%
 
1.4465924510.1%
 
1.51455879210.1%
 
0.286448478710.1%
 
0.725240349810.1%
 
-0.600237011910.1%
 
1.30201542410.1%
 
0.503291904910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75695872310.1%
 
-1.75489473310.1%
 
-1.75472509910.1%
 
-1.75141251110.1%
 
-1.73861682410.1%
 
-1.73666584510.1%
 
-1.73067152510.1%
 
-1.7252705110.1%
 
-1.72066044810.1%
 
-1.7057588110.1%
 
ValueCountFrequency (%) 
1.75389325610.1%
 
1.75330865410.1%
 
1.75304555910.1%
 
1.75004768410.1%
 
1.74691653310.1%
 
1.74029815210.1%
 
1.73860454610.1%
 
1.73722863210.1%
 
1.73293268710.1%
 
1.72688877610.1%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4388933777809143e-10
Minimum-1.7864351272583008
Maximum1.7478090524673462
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:03.720353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.786435127
5-th percentile-1.561470693
Q1-0.8373601288
median0.001427121228
Q30.8510984927
95-th percentile1.554582918
Maximum1.747809052
Range3.53424418
Interquartile range (IQR)1.688458622

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)6949785275
Kurtosis-1.166680229
Mean1.438893378e-10
Median Absolute Deviation (MAD)0.8443990124
Skewness-0.001744516939
Sum1.438893378e-07
Variance1.000000002
2020-08-25T00:17:03.823765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.41796755810.1%
 
1.14538264310.1%
 
-1.78643512710.1%
 
0.0847965851410.1%
 
0.576809406310.1%
 
-0.57290244110.1%
 
-0.836572706710.1%
 
1.1081055410.1%
 
-1.51531839410.1%
 
1.63798499110.1%
 
0.64320498710.1%
 
0.396120548210.1%
 
-1.53249573710.1%
 
-0.197420984510.1%
 
0.215665847110.1%
 
0.762333273910.1%
 
0.779872953910.1%
 
-0.335267871610.1%
 
-0.539674401310.1%
 
0.233062416310.1%
 
-0.565059781110.1%
 
0.213925212610.1%
 
1.05198967510.1%
 
-0.101273238710.1%
 
-0.850208163310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78643512710.1%
 
-1.78241753610.1%
 
-1.76512515510.1%
 
-1.75413513210.1%
 
-1.74944603410.1%
 
-1.74889779110.1%
 
-1.74287974810.1%
 
-1.74128985410.1%
 
-1.74029529110.1%
 
-1.73873865610.1%
 
ValueCountFrequency (%) 
1.74780905210.1%
 
1.74534475810.1%
 
1.74160766610.1%
 
1.74008715210.1%
 
1.73290932210.1%
 
1.73246502910.1%
 
1.72163474610.1%
 
1.71809959410.1%
 
1.7164975410.1%
 
1.71080517810.1%
 

oz74
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.248584784567356e-10
Minimum-1.7380881309509275
Maximum1.714051604270935
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:03.941043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.738088131
5-th percentile-1.565756172
Q1-0.9068089873
median0.04405433685
Q30.8697181195
95-th percentile1.551687515
Maximum1.714051604
Range3.452139735
Interquartile range (IQR)1.776527107

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1905275501
Kurtosis-1.221572762
Mean-5.248584785e-10
Median Absolute Deviation (MAD)0.8761436045
Skewness-0.03145885482
Sum-5.248584785e-07
Variance1.000000001
2020-08-25T00:17:04.045100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.16405963910.1%
 
0.590502440910.1%
 
-1.31436419510.1%
 
-0.56317436710.1%
 
0.0711291208910.1%
 
1.20056211910.1%
 
-0.633483350310.1%
 
1.62634038910.1%
 
0.155440300710.1%
 
-0.220869764710.1%
 
-1.07594299310.1%
 
0.277674913410.1%
 
-0.826833903810.1%
 
0.709644675310.1%
 
1.6731941710.1%
 
-1.10677468810.1%
 
-0.902966022510.1%
 
1.3931351910.1%
 
0.354169249510.1%
 
0.844389975110.1%
 
1.19012808810.1%
 
-1.55205404810.1%
 
-1.54424059410.1%
 
0.430980831410.1%
 
1.50517094110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73808813110.1%
 
-1.73780345910.1%
 
-1.73299181510.1%
 
-1.73160052310.1%
 
-1.73134982610.1%
 
-1.73074173910.1%
 
-1.72797155410.1%
 
-1.72254931910.1%
 
-1.71952819810.1%
 
-1.71703171710.1%
 
ValueCountFrequency (%) 
1.71405160410.1%
 
1.71266615410.1%
 
1.71231555910.1%
 
1.70328307210.1%
 
1.69927108310.1%
 
1.69185364210.1%
 
1.67548334610.1%
 
1.6731941710.1%
 
1.67209136510.1%
 
1.66852331210.1%
 

oz34
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.996522769331932e-09
Minimum-1.714789628982544
Maximum1.736485719680786
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:04.161304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.714789629
5-th percentile-1.542399138
Q1-0.8553989083
median0.007818997838
Q30.8457441032
95-th percentile1.560910529
Maximum1.73648572
Range3.451275349
Interquartile range (IQR)1.701143011

Descriptive statistics

Standard deviation0.9999999983
Coefficient of variation (CV)-500870820.8
Kurtosis-1.186784949
Mean-1.996522769e-09
Median Absolute Deviation (MAD)0.8571962127
Skewness0.04375912174
Sum-1.996522769e-06
Variance0.9999999966
2020-08-25T00:17:04.267634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.459961861410.1%
 
-1.01695990610.1%
 
1.3138809210.1%
 
1.55997335910.1%
 
1.08731770510.1%
 
-1.28653037510.1%
 
-0.733109176210.1%
 
0.168627753910.1%
 
-0.947946965710.1%
 
-1.32948136310.1%
 
1.40760362110.1%
 
0.684268772610.1%
 
-0.730674326410.1%
 
0.624084353410.1%
 
-1.47399187110.1%
 
-0.879572689510.1%
 
-1.22538495110.1%
 
0.185224726810.1%
 
-0.56902122510.1%
 
-0.491669595210.1%
 
-1.23959493610.1%
 
-0.652998983910.1%
 
-0.498374372710.1%
 
-1.01004254810.1%
 
0.76660013210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71478962910.1%
 
-1.71308052510.1%
 
-1.70209062110.1%
 
-1.69941425310.1%
 
-1.69743800210.1%
 
-1.68929207310.1%
 
-1.68199765710.1%
 
-1.67559194610.1%
 
-1.67500460110.1%
 
-1.67409610710.1%
 
ValueCountFrequency (%) 
1.7364857210.1%
 
1.72922551610.1%
 
1.72709107410.1%
 
1.72595691710.1%
 
1.72579383910.1%
 
1.72487449610.1%
 
1.7205365910.1%
 
1.71639776210.1%
 
1.71208369710.1%
 
1.70507311810.1%
 

oz91
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.905167199671268e-10
Minimum-1.6772743463516235
Maximum1.6442943811416626
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:04.383565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.677274346
5-th percentile-1.533699465
Q1-0.8915097266
median-0.001626111771
Q30.8754557818
95-th percentile1.543607628
Maximum1.644294381
Range3.321568727
Interquartile range (IQR)1.766965508

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1693432153
Kurtosis-1.253157007
Mean5.9051672e-10
Median Absolute Deviation (MAD)0.8819266856
Skewness0.005032213242
Sum5.9051672e-07
Variance1.000000001
2020-08-25T00:17:04.488492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.12499821210.1%
 
-0.0696575492610.1%
 
1.06381380610.1%
 
1.46006405410.1%
 
-0.613941669510.1%
 
-1.39973771610.1%
 
0.243021413710.1%
 
0.660801708710.1%
 
0.906893849410.1%
 
-1.29425454110.1%
 
-0.590480148810.1%
 
-1.00908005210.1%
 
1.44655954810.1%
 
0.163729697510.1%
 
0.524057388310.1%
 
1.47532796910.1%
 
1.58320617710.1%
 
-1.64967334310.1%
 
1.33861494110.1%
 
-0.764284849210.1%
 
0.49583655610.1%
 
-0.31664037710.1%
 
-0.24087436510.1%
 
-0.70177763710.1%
 
-0.513759434210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.67727434610.1%
 
-1.6764657510.1%
 
-1.6746972810.1%
 
-1.67469382310.1%
 
-1.66276192710.1%
 
-1.65640342210.1%
 
-1.65521097210.1%
 
-1.64967334310.1%
 
-1.64826881910.1%
 
-1.64767634910.1%
 
ValueCountFrequency (%) 
1.64429438110.1%
 
1.642780910.1%
 
1.64231240710.1%
 
1.64065003410.1%
 
1.640582810.1%
 
1.63516855210.1%
 
1.63431000710.1%
 
1.63393855110.1%
 
1.63363790510.1%
 
1.63298773810.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.519847713410855e-10
Minimum-1.7831544876098633
Maximum3.9770255088806152
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:04.602405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.783154488
5-th percentile-1.056323582
Q1-0.7079881281
median-0.3372321427
Q30.447742939
95-th percentile2.077596581
Maximum3.977025509
Range5.760179996
Interquartile range (IQR)1.155731067

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1329814166
Kurtosis1.541407616
Mean7.519847713e-10
Median Absolute Deviation (MAD)0.4724193811
Skewness1.349992107
Sum7.519847713e-07
Variance1.000000003
2020-08-25T00:17:04.714972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.851669728810.1%
 
-0.305983960610.1%
 
2.38546228410.1%
 
0.36458805210.1%
 
0.817066609910.1%
 
-1.24072790110.1%
 
0.697924137110.1%
 
-0.570969939210.1%
 
-0.338218957210.1%
 
-1.19270396210.1%
 
1.66665172610.1%
 
-0.549475133410.1%
 
-0.45317429310.1%
 
-0.361982971410.1%
 
-0.124420277810.1%
 
-0.8411583910.1%
 
-1.02465081210.1%
 
-0.341552168110.1%
 
2.11190819710.1%
 
1.54423499110.1%
 
-0.0838186070310.1%
 
-0.319437116410.1%
 
0.81358367210.1%
 
-0.807264208810.1%
 
-0.27667677410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78315448810.1%
 
-1.6710865510.1%
 
-1.3946789510.1%
 
-1.35574531610.1%
 
-1.31372535210.1%
 
-1.30733895310.1%
 
-1.30344784310.1%
 
-1.30131971810.1%
 
-1.28898775610.1%
 
-1.27493298110.1%
 
ValueCountFrequency (%) 
3.97702550910.1%
 
3.71955990810.1%
 
3.63337993610.1%
 
3.54547834410.1%
 
3.52491450310.1%
 
3.52240109410.1%
 
3.3848040110.1%
 
3.36366391210.1%
 
3.3262224210.1%
 
3.31926369710.1%
 

oz77
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.887130439281464e-10
Minimum-1.7570624351501465
Maximum1.7325156927108765
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:04.829225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.757062435
5-th percentile-1.566274542
Q1-0.8456335068
median0.004880094668
Q30.8576564491
95-th percentile1.582812053
Maximum1.732515693
Range3.489578128
Interquartile range (IQR)1.703289956

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)1451983539
Kurtosis-1.175888224
Mean6.887130439e-10
Median Absolute Deviation (MAD)0.8524200022
Skewness0.02489711126
Sum6.887130439e-07
Variance1.000000005
2020-08-25T00:17:04.932884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.16405975810.1%
 
-0.49740508210.1%
 
0.00208555511210.1%
 
0.301129996810.1%
 
0.461284786510.1%
 
0.569049358410.1%
 
-0.331398993710.1%
 
1.6458971510.1%
 
0.709666669410.1%
 
-1.20409834410.1%
 
-0.398379236510.1%
 
-1.75135588610.1%
 
0.420559972510.1%
 
-0.899695754110.1%
 
-1.60412085110.1%
 
1.45054721810.1%
 
-0.0306595750210.1%
 
1.44273555310.1%
 
1.326801310.1%
 
-0.406580805810.1%
 
1.22732472410.1%
 
-1.68305885810.1%
 
-1.3294366610.1%
 
-0.666670322410.1%
 
0.4905607710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75706243510.1%
 
-1.75249242810.1%
 
-1.75224101510.1%
 
-1.75135588610.1%
 
-1.74420034910.1%
 
-1.7429277910.1%
 
-1.73897969710.1%
 
-1.72560930310.1%
 
-1.72276341910.1%
 
-1.71961629410.1%
 
ValueCountFrequency (%) 
1.73251569310.1%
 
1.73052215610.1%
 
1.72927725310.1%
 
1.72647607310.1%
 
1.72416341310.1%
 
1.72169387310.1%
 
1.71828901810.1%
 
1.71340024510.1%
 
1.70896756610.1%
 
1.70694029310.1%
 

oz78
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.702052921056747e-10
Minimum-1.749032974243164
Maximum1.7218388319015503
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:05.048501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.749032974
5-th percentile-1.586037385
Q1-0.8910959065
median0.05077792518
Q30.8261474967
95-th percentile1.549870235
Maximum1.721838832
Range3.470871806
Interquartile range (IQR)1.717243403

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1030709694
Kurtosis-1.186737602
Mean-9.702052921e-10
Median Absolute Deviation (MAD)0.8482277989
Skewness-0.04627902055
Sum-9.702052921e-07
Variance1
2020-08-25T00:17:05.158068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.541015148210.1%
 
0.723301172310.1%
 
-0.816095769410.1%
 
-0.081138119110.1%
 
0.602227330210.1%
 
-0.127330467110.1%
 
-0.14811441310.1%
 
1.46525645310.1%
 
-1.27083289610.1%
 
1.54427170810.1%
 
-1.01234805610.1%
 
0.475260794210.1%
 
-0.985022485310.1%
 
-1.63410627810.1%
 
-0.731114745110.1%
 
0.90884280210.1%
 
0.958366036410.1%
 
0.897350549710.1%
 
-1.29424381310.1%
 
1.61232411910.1%
 
1.56767690210.1%
 
-1.14970469510.1%
 
-1.37626409510.1%
 
-0.841468453410.1%
 
0.99672198310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74903297410.1%
 
-1.74871766610.1%
 
-1.7485225210.1%
 
-1.74167954910.1%
 
-1.7379888310.1%
 
-1.73558461710.1%
 
-1.73384153810.1%
 
-1.73271274610.1%
 
-1.72678959410.1%
 
-1.72324204410.1%
 
ValueCountFrequency (%) 
1.72183883210.1%
 
1.69996225810.1%
 
1.69929933510.1%
 
1.6990590110.1%
 
1.69831967410.1%
 
1.6964161410.1%
 
1.69236779210.1%
 
1.68566083910.1%
 
1.68134057510.1%
 
1.67976605910.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5234691090881823e-09
Minimum-1.7562321424484253
Maximum1.7127902507781982
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:05.274601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.756232142
5-th percentile-1.571430355
Q1-0.8532604873
median-0.03199665062
Q30.8936177492
95-th percentile1.557188118
Maximum1.712790251
Range3.469022393
Interquartile range (IQR)1.746878237

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)-656396636.1
Kurtosis-1.199023988
Mean-1.523469109e-09
Median Absolute Deviation (MAD)0.8788155783
Skewness0.03105722584
Sum-1.523469109e-06
Variance0.9999999968
2020-08-25T00:17:05.376523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.18964064110.1%
 
-0.686196148410.1%
 
0.508479356810.1%
 
-0.347988843910.1%
 
-0.381191790110.1%
 
1.22007727610.1%
 
0.858081936810.1%
 
-0.506519019610.1%
 
-1.64584779710.1%
 
1.1888130910.1%
 
0.723311662710.1%
 
-0.9395533810.1%
 
1.11849570310.1%
 
-1.13151013910.1%
 
-1.3723933710.1%
 
0.727210462110.1%
 
-1.55592703810.1%
 
-0.281573206210.1%
 
-0.247719779610.1%
 
-1.74738144910.1%
 
-0.477244675210.1%
 
-0.736970245810.1%
 
1.36456155810.1%
 
-0.131019040910.1%
 
1.48955428610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75623214210.1%
 
-1.75423729410.1%
 
-1.74738144910.1%
 
-1.74619460110.1%
 
-1.73804020910.1%
 
-1.73262524610.1%
 
-1.72362315710.1%
 
-1.72253394110.1%
 
-1.72122585810.1%
 
-1.71935486810.1%
 
ValueCountFrequency (%) 
1.71279025110.1%
 
1.7083021410.1%
 
1.70766282110.1%
 
1.70360124110.1%
 
1.70141601610.1%
 
1.69965124110.1%
 
1.69640040410.1%
 
1.69113302210.1%
 
1.68911707410.1%
 
1.68072915110.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.083872333168984e-11
Minimum-2.763218402862549
Maximum3.6773006916046143
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:17:05.490062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.763218403
5-th percentile-1.791016847
Q1-0.6521189958
median0.1541500241
Q30.6335890889
95-th percentile1.37096197
Maximum3.677300692
Range6.440519094
Interquartile range (IQR)1.285708085

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-1.411657286e+10
Kurtosis0.1994352976
Mean-7.083872333e-11
Median Absolute Deviation (MAD)0.5934518427
Skewness-0.09423277845
Sum-7.083872333e-08
Variance0.9999999981
2020-08-25T00:17:05.593403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.736328065410.1%
 
2.1120283610.1%
 
0.31773039710.1%
 
0.248708382210.1%
 
-0.910848557910.1%
 
0.815143525610.1%
 
0.373391658110.1%
 
0.248219430410.1%
 
0.146167904110.1%
 
0.0303558781710.1%
 
0.696377694610.1%
 
1.08338308310.1%
 
-0.653327107410.1%
 
-1.70056068910.1%
 
1.19664144510.1%
 
0.0957855731210.1%
 
-0.400707989910.1%
 
1.22787964310.1%
 
2.91917371710.1%
 
-0.23616409310.1%
 
0.633530199510.1%
 
1.02865052210.1%
 
-0.860985457910.1%
 
0.155924007310.1%
 
1.97526931810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.76321840310.1%
 
-2.42027258910.1%
 
-2.41411590610.1%
 
-2.35873913810.1%
 
-2.35596537610.1%
 
-2.30397796610.1%
 
-2.26187872910.1%
 
-2.2397782810.1%
 
-2.23226141910.1%
 
-2.22458958610.1%
 
ValueCountFrequency (%) 
3.67730069210.1%
 
3.11399292910.1%
 
3.10561156310.1%
 
2.92978692110.1%
 
2.91917371710.1%
 
2.85377335510.1%
 
2.78604865110.1%
 
2.77119350410.1%
 
2.76655173310.1%
 
2.64345502910.1%
 

Interactions

2020-08-25T00:15:53.488172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:53.649200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:53.810427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:53.975202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:54.137428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:54.297704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:54.459189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:54.626695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:54.786421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:54.947560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:55.107455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:55.272272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:55.434914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:55.600123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:55.762170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:55.923032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:56.085051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:56.247679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:56.409742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:56.579833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:56.758457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:56.920286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:57.245148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:57.471477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:57.635631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:57.795758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:57.956553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:58.118936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:58.275436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:58.433505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:58.590698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:58.753977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:58.914572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:59.082419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:59.245576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:59.408486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:59.577057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:59.739357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:59.904892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:00.074506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:00.233085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:00.391734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:00.555264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:00.717384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:00.887789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:01.050455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:01.212033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:01.375423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:01.538438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:01.701694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:01.853653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:02.180801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:02.347792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:02.508182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:02.668946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:02.830448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:02.991859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:03.154835image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:03.311530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:03.473800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:03.634402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:03.802686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:03.964613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:04.128259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:04.288536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:04.452308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:04.614684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:04.775332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:04.936578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:05.098294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:05.257551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:05.417057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:05.577863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:05.741065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:05.904430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:06.066480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:06.227401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:06.389978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:06.551970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:06.715267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:07.038268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:07.200784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:07.362643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:07.526929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:07.688279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:07.852090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.013104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.174189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.335548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.498502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.660253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.822622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:08.985029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:09.148055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:09.311335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:09.474983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:09.633982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:09.796261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:09.955276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:10.116731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:10.282212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:10.444208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:10.610184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:10.769218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:10.928725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:11.089846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:11.248250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:11.409075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:11.570451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:11.899645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:12.052373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:12.212251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:12.379849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:12.541351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:12.705951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:12.870327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:13.029800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:13.190929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:13.352849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:13.512880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:13.676393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:13.845240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.007872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.170739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.333428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.498218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.660099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.826681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:14.989177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:15.150538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:15.304100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:15.468545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:15.629714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:15.790529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:15.953965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:16.117089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:16.276797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:16.439765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:16.768307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:16.927275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:17.087357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:17.249469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:17.409149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:17.570865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:17.737203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:17.904867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:18.066087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:18.231513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:18.392175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:18.556470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:18.727231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:18.889381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:19.052074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:19.213147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:19.376168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:19.541291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:19.700685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:19.858132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.020144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.182487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.343723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.505231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.664619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.823711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:20.987499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:21.150584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:21.311258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:21.633727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:21.793132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:21.957098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:22.113858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:22.292790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:22.456747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:22.618095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:22.781093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:22.947937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:23.109871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:23.272260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:23.436450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:23.602356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:23.763069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:23.913294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.076732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.234912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.384363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.539564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.688705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.840161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:24.990249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:25.141469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:25.284329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:25.438427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:25.592689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:25.744387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:25.909251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:26.061248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:26.211454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:26.527502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:26.674946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:26.821698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:26.968070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:27.131136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:27.292763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:27.455627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:27.628886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:27.800115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:27.962167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:28.124840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:28.285905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:28.446451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:28.610166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:28.775770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:28.938888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:29.113360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:29.278469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:29.439889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:29.604050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:29.767260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:29.930494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:30.093319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:30.254604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:30.416950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:30.579350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:30.741394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:30.899750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:31.062422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:31.397380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:31.558567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:31.721592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:31.882123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:32.035163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:32.200845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:32.360952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:32.523304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:32.698517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:32.861729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:33.028732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:33.196410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:33.357362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:33.520423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:33.687304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:33.849634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.013700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.178107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.339734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.500686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.667471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.831963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:34.990913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:35.151151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:35.305439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:35.466123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:35.627966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:35.790782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:35.948432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:36.268939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:36.427755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:36.588183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:36.751282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:36.919719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:37.088012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:37.252871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:37.413332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:37.573111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:37.750900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:37.913919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:38.075432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:38.244356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:38.413062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:38.574748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:38.734631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:38.897183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:39.060472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:39.220319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:39.382391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:39.543100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:39.702068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:39.864847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:40.025044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:40.185826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:40.351252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:40.511258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:40.670975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:40.828267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:41.145258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:41.306494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:41.465283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:41.623970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:41.784316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:41.945962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:42.097566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:42.257044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:42.419537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:42.577731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:42.746880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:42.908578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:43.064173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:43.223349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:43.384356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:43.541377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:43.712915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:43.876181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.035309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.191343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.357118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.515699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.672602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.829205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:44.994128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:45.147353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:45.295061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:45.453287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:45.610581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:45.922977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:46.079558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:46.236889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:46.390348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:46.547416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:46.711940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:46.876473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.037809image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.196110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.355211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.519762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.678553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.838151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:47.999584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:48.161705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:48.320926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:48.479814image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:48.634216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:48.795191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:48.956015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:49.114193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:49.272882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:49.431259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:49.584177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:49.741444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:49.906059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:50.067024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:50.225799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:50.384841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:50.695933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:50.855257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.014481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.171373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.329608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.489127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.647278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.806516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:51.957472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:52.116615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:52.275029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:52.433644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:52.593033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:52.752525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:52.909902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:53.070602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:53.227550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:53.387995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:53.549742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:53.713789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:53.875483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:54.037323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:54.199499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:54.361777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:54.525447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:54.688868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:54.851014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:55.011469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:55.165349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:55.490095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:55.649455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:55.807540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:55.964499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:56.125762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:56.283665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:56.443424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:56.606030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:56.863070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.022549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.180840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.335974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.493532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.655634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.814342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:57.971961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:58.132962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:58.292099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:58.453488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:58.610068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:58.772712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:58.933699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:59.099176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:59.260649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:59.420069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:59.580745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:59.737152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:16:59.896252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:00.055588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:17:05.742485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:17:06.046737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:17:06.356495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:17:06.810494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:17:00.512335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:00.972230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz84oz54oz71oz46oz45oz40oz23oz81oz11oz1oz19oz31oz74oz34oz91oz5oz77oz78oz13target
00.359605-1.3879761.233611-1.552236-1.101067-1.0289320.674660-0.5889841.609518-1.682609-1.080335-1.3908621.0613440.722313-0.848344-0.639864-0.985542-0.3009081.544110-0.775582
1-0.2858610.974733-0.6261591.4707910.298478-0.829686-0.5134850.5683590.951223-0.2218490.021510-0.8702241.0866490.1867340.167885-0.4173730.824714-0.8042590.8523980.706906
2-0.684845-1.439858-1.632793-0.6026940.628652-0.734318-1.060481-1.490851-0.365131-0.135702-0.933018-0.233609-0.266564-0.6405770.3244390.099845-0.234467-1.5401090.0588610.711999
30.5285140.0389391.4444501.297334-0.1011480.0132681.208905-1.440150-0.261834-0.343172-1.462779-1.268575-0.1749900.5601951.315646-0.2021991.724163-0.1424381.163879-0.012101
40.4359800.773748-0.203418-1.4762520.2836870.185442-1.248294-0.3774061.666124-2.089061-0.3871470.607814-1.6406760.7583621.034458-0.669799-0.8397631.4768911.570882-0.466762
50.634078-1.1760920.8130041.0871581.308686-0.6033530.7004010.706153-1.703275-0.2922591.492738-0.5241110.4329750.7671520.552984-1.0561351.1374791.412988-0.0971510.645275
61.4007781.6307070.0275050.7093561.5207211.2539720.362482-1.646113-0.8373191.003979-1.188618-1.184140-0.738194-0.438698-0.0607850.467089-1.0584110.3524650.868173-1.736534
70.122202-0.940756-0.7338811.3427120.0987681.4990161.1687080.105204-1.395172-0.602207-0.749742-0.091715-1.450154-0.225851-1.523998-0.0556291.602332-1.3167521.6757311.217316
80.087327-1.0165021.4991400.268876-1.0942870.960170-0.043176-0.2340131.2268390.087596-0.122597-0.0621131.4032121.1296701.6406501.1842760.212698-0.289053-0.3608000.488679
90.8044220.5737591.243405-0.965618-1.185114-0.773728-1.6990680.3644420.9570381.7157120.5508651.051990-0.4632531.410096-1.4224860.877480-0.5178810.6130241.2479610.695251

Last rows

oz84oz54oz71oz46oz45oz40oz23oz81oz11oz1oz19oz31oz74oz34oz91oz5oz77oz78oz13target
9901.216153-1.163939-1.6258680.048028-0.9705921.559717-0.4820741.622788-1.7060321.291720-0.388132-0.433221-0.9066560.551413-1.046865-0.9918050.0497990.902527-0.289855-0.470043
991-1.7163471.7341300.088538-1.1462361.053159-0.959872-1.588451-1.3874070.7901970.5741860.7732260.8587810.536434-1.3276520.1700411.666652-1.6317191.5630271.4974590.344935
992-1.015656-0.828453-1.1917011.494526-1.4615340.652886-0.4767720.838422-0.0139420.5779000.685942-0.843449-1.1640600.032420-0.843193-0.173507-0.1779730.332399-0.1277410.239059
993-0.8616761.3474101.437001-0.3626820.9671100.3747770.472922-0.1374820.6524821.029503-1.170975-0.5111840.1024890.766600-1.312728-0.106544-0.7031861.1614291.142876-0.766703
9941.403114-0.1327441.287824-1.4183180.120619-0.5594611.2408580.270094-1.6881221.3270231.381583-1.4150281.6026900.118681-1.0044430.4388090.3422610.8927850.002789-1.661754
995-0.8804581.057244-0.8493100.976628-1.3827461.5514940.701988-1.3684740.3916200.546586-0.812141-1.308530-0.586438-1.357054-1.5517120.128030-1.137273-1.2718021.565431-1.183432
996-0.4716580.4949020.7874720.709194-1.5969281.0286941.591858-0.1203970.9364100.756202-0.0029860.9865290.923670-1.3178720.9753341.350621-0.9231750.0406890.127732-0.592956
997-0.5601511.138523-0.533741-1.371070-0.9914030.1682641.3003290.3894520.178215-0.1134501.2915101.020597-1.330264-0.2294790.3887780.4371271.448960-0.069382-0.3508410.317730
9981.166567-0.991507-1.5462351.101147-0.662013-0.965844-1.3046730.1646180.0230590.4599910.2948530.4210670.571396-1.689292-0.393854-0.345546-0.547409-0.9694720.601579-2.034100
9991.285374-1.1285690.5665990.8776381.1379151.5038830.7394020.9123760.354038-0.0484260.8660550.0190001.218950-0.925867-0.333168-0.2423700.677813-1.732713-0.039768-1.174311